Pandas Profiling Report

Dataset statistics

Number of variables	29
Number of observations	1000000
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	221.3 MiB
Average record size in memory	232.0 B

Variable types

Categorical	15
Text	9
Numeric	5

Alerts

`Claim_Date` has constant value "2024-04-24"	Constant
`Claim_ID` has unique values	Unique
`Phone_Number` has unique values	Unique

Reproduction

Analysis started	2024-05-30 06:19:19.927054
Analysis finished	2024-05-30 06:25:55.232539
Duration	6 minutes and 35.31 seconds
Software version	ydata-profiling v4.8.3
Download configuration	config.json

Provider_ID
Categorical

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	7.6 MiB

Eastern Hospital	200827
Sky Hospital	199948
Moon Healthcare	199909
Asian Medical Center	199835
Sun Clinic	199481

Length

Max length	20
Median length	15
Mean length	14.602753
Min length	10

Characters and Unicode

Total characters	14602753
Distinct characters	23
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Asian Medical Center
2nd row	Sky Hospital
3rd row	Moon Healthcare
4th row	Sky Hospital
5th row	Sun Clinic

Common Values

Value	Count	Frequency (%)
Eastern Hospital	200827	20.1%
Sky Hospital	199948	20.0%
Moon Healthcare	199909	20.0%
Asian Medical Center	199835	20.0%
Sun Clinic	199481	19.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
hospital	400775	18.2%
eastern	200827	9.1%
sky	199948	9.1%
moon	199909	9.1%
healthcare	199909	9.1%
asian	199835	9.1%
medical	199835	9.1%
center	199835	9.1%
sun	199481	9.1%
clinic	199481	9.1%

Most occurring characters

Value	Count	Frequency (%)
a	1401090	9.6%
e	1200150	8.2%
	1199835	8.2%
i	1199407	8.2%
n	1199368	8.2%
t	1001346	6.9%
l	1000000	6.8%
s	801437	5.5%
o	800593	5.5%
H	600684	4.1%
Other values (13)	4198843	28.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	11203083	76.7%
Uppercase Letter	2199835	15.1%
Space Separator	1199835	8.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	1401090	12.5%
e	1200150	10.7%
i	1199407	10.7%
n	1199368	10.7%
t	1001346	8.9%
l	1000000	8.9%
s	801437	7.2%
o	800593	7.1%
r	600571	5.4%
c	599225	5.3%
Other values (6)	1399896	12.5%

Uppercase Letter

Value	Count	Frequency (%)
H	600684	27.3%
M	399744	18.2%
S	399429	18.2%
C	399316	18.2%
E	200827	9.1%
A	199835	9.1%

Space Separator

Value	Count	Frequency (%)
	1199835	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	13402918	91.8%
Common	1199835	8.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	1401090	10.5%
e	1200150	9.0%
i	1199407	8.9%
n	1199368	8.9%
t	1001346	7.5%
l	1000000	7.5%
s	801437	6.0%
o	800593	6.0%
H	600684	4.5%
r	600571	4.5%
Other values (12)	3598272	26.8%

Common

Value	Count	Frequency (%)
	1199835	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	14602753	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	1401090	9.6%
e	1200150	8.2%
	1199835	8.2%
i	1199407	8.2%
n	1199368	8.2%
t	1001346	6.9%
l	1000000	6.8%
s	801437	5.5%
o	800593	5.5%
H	600684	4.1%
Other values (13)	4198843	28.8%

Claim_ID
Text

UNIQUE

Distinct	1000000
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	7.6 MiB

Length

Max length	13
Median length	12
Mean length	11.888896
Min length	7

Characters and Unicode

Total characters	11888896
Distinct characters	16
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1000000 ?
Unique (%)	100.0%

Sample

1st row	CLAIM_1
2nd row	CLAIM_2
3rd row	CLAIM_3
4th row	CLAIM_4
5th row	CLAIM_5

Value	Count	Frequency (%)
claim_1	1	< 0.1%
claim_32	1	< 0.1%
claim_30	1	< 0.1%
claim_15	1	< 0.1%
claim_3	1	< 0.1%
claim_4	1	< 0.1%
claim_5	1	< 0.1%
claim_6	1	< 0.1%
claim_7	1	< 0.1%
claim_8	1	< 0.1%
Other values (999990)	999990	> 99.9%

Most occurring characters

Value	Count	Frequency (%)
C	1000000	8.4%
L	1000000	8.4%
A	1000000	8.4%
I	1000000	8.4%
M	1000000	8.4%
_	1000000	8.4%
1	600001	5.0%
6	600000	5.0%
5	600000	5.0%
8	600000	5.0%
Other values (6)	3488895	29.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	5888896	49.5%
Uppercase Letter	5000000	42.1%
Connector Punctuation	1000000	8.4%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	600001	10.2%
6	600000	10.2%
5	600000	10.2%
8	600000	10.2%
2	600000	10.2%
3	600000	10.2%
4	600000	10.2%
7	600000	10.2%
9	600000	10.2%
0	488895	8.3%

Uppercase Letter

Value	Count	Frequency (%)
C	1000000	20.0%
L	1000000	20.0%
A	1000000	20.0%
I	1000000	20.0%
M	1000000	20.0%

Connector Punctuation

Value	Count	Frequency (%)
_	1000000	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	6888896	57.9%
Latin	5000000	42.1%

Most frequent character per script

Common

Value	Count	Frequency (%)
_	1000000	14.5%
1	600001	8.7%
6	600000	8.7%
5	600000	8.7%
8	600000	8.7%
2	600000	8.7%
3	600000	8.7%
4	600000	8.7%
7	600000	8.7%
9	600000	8.7%

Latin

Value	Count	Frequency (%)
C	1000000	20.0%
L	1000000	20.0%
A	1000000	20.0%
I	1000000	20.0%
M	1000000	20.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11888896	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
C	1000000	8.4%
L	1000000	8.4%
A	1000000	8.4%
I	1000000	8.4%
M	1000000	8.4%
_	1000000	8.4%
1	600001	5.0%
6	600000	5.0%
5	600000	5.0%
8	600000	5.0%
Other values (6)	3488895	29.3%

Patient_ID
Text

Distinct	329922
Distinct (%)	33.0%
Missing	0
Missing (%)	0.0%
Memory size	7.6 MiB

Length

Max length	30
Median length	28
Mean length	13.276224
Min length	5

Characters and Unicode

Total characters	13276224
Distinct characters	54
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	177047 ?
Unique (%)	17.7%

Sample

1st row	Darrell Blair
2nd row	William Young
3rd row	Keith Reynolds
4th row	Andre Kelly
5th row	Terry Gonzales

Value	Count	Frequency (%)
michael	22935	1.1%
smith	21674	1.1%
johnson	17238	0.8%
james	16825	0.8%
david	15947	0.8%
jennifer	14751	0.7%
john	14270	0.7%
williams	13960	0.7%
christopher	13958	0.7%
thomas	13686	0.7%
Other values (1588)	1879531	91.9%

Most occurring characters

Value	Count	Frequency (%)
e	1234816	9.3%
a	1225484	9.2%
	1044775	7.9%
n	997504	7.5%
r	953421	7.2%
i	804342	6.1%
o	716050	5.4%
l	673909	5.1%
s	599690	4.5%
t	461198	3.5%
Other values (44)	4565035	34.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	10133023	76.3%
Uppercase Letter	2077116	15.6%
Space Separator	1044775	7.9%
Other Punctuation	21310	0.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	1234816	12.2%
a	1225484	12.1%
n	997504	9.8%
r	953421	9.4%
i	804342	7.9%
o	716050	7.1%
l	673909	6.7%
s	599690	5.9%
t	461198	4.6%
h	447234	4.4%
Other values (16)	2019375	19.9%

Uppercase Letter

Value	Count	Frequency (%)
M	230824	11.1%
J	205645	9.9%
S	170291	8.2%
C	155605	7.5%
D	139935	6.7%
R	128561	6.2%
B	128232	6.2%
A	127158	6.1%
W	98467	4.7%
H	95791	4.6%
Other values (16)	596607	28.7%

Space Separator

Value	Count	Frequency (%)
	1044775	100.0%

Other Punctuation

Value	Count	Frequency (%)
.	21310	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	12210139	92.0%
Common	1066085	8.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	1234816	10.1%
a	1225484	10.0%
n	997504	8.2%
r	953421	7.8%
i	804342	6.6%
o	716050	5.9%
l	673909	5.5%
s	599690	4.9%
t	461198	3.8%
h	447234	3.7%
Other values (42)	4096491	33.5%

Common

Value	Count	Frequency (%)
	1044775	98.0%
.	21310	2.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	13276224	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	1234816	9.3%
a	1225484	9.2%
	1044775	7.9%
n	997504	7.5%
r	953421	7.2%
i	804342	6.1%
o	716050	5.4%
l	673909	5.1%
s	599690	4.5%
t	461198	3.5%
Other values (44)	4565035	34.4%

Diagnosis_Code
Text

Distinct	900
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	7.6 MiB

Length

Max length	6
Median length	6
Mean length	6
Min length	6

Characters and Unicode

Total characters	6000000
Distinct characters	13
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	DX_714
2nd row	DX_885
3rd row	DX_988
4th row	DX_779
5th row	DX_644

Value	Count	Frequency (%)
dx_715	1197	0.1%
dx_285	1195	0.1%
dx_838	1195	0.1%
dx_514	1192	0.1%
dx_508	1190	0.1%
dx_666	1190	0.1%
dx_421	1186	0.1%
dx_667	1185	0.1%
dx_566	1185	0.1%
dx_848	1180	0.1%
Other values (890)	988105	98.8%

Most occurring characters

Value	Count	Frequency (%)
D	1000000	16.7%
X	1000000	16.7%
_	1000000	16.7%
3	311682	5.2%
8	311624	5.2%
4	311624	5.2%
6	311340	5.2%
1	311331	5.2%
5	311188	5.2%
9	310735	5.2%
Other values (3)	820476	13.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3000000	50.0%
Uppercase Letter	2000000	33.3%
Connector Punctuation	1000000	16.7%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
3	311682	10.4%
8	311624	10.4%
4	311624	10.4%
6	311340	10.4%
1	311331	10.4%
5	311188	10.4%
9	310735	10.4%
2	310636	10.4%
7	310502	10.4%
0	199338	6.6%

Uppercase Letter

Value	Count	Frequency (%)
D	1000000	50.0%
X	1000000	50.0%

Connector Punctuation

Value	Count	Frequency (%)
_	1000000	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4000000	66.7%
Latin	2000000	33.3%

Most frequent character per script

Common

Value	Count	Frequency (%)
_	1000000	25.0%
3	311682	7.8%
8	311624	7.8%
4	311624	7.8%
6	311340	7.8%
1	311331	7.8%
5	311188	7.8%
9	310735	7.8%
2	310636	7.8%
7	310502	7.8%

Latin

Value	Count	Frequency (%)
D	1000000	50.0%
X	1000000	50.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	6000000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
D	1000000	16.7%
X	1000000	16.7%
_	1000000	16.7%
3	311682	5.2%
8	311624	5.2%
4	311624	5.2%
6	311340	5.2%
1	311331	5.2%
5	311188	5.2%
9	310735	5.2%
Other values (3)	820476	13.7%

Procedure_Code
Text

Distinct	9000
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Memory size	7.6 MiB

Length

Max length	9
Median length	9
Mean length	9
Min length	9

Characters and Unicode

Total characters	9000000
Distinct characters	15
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	PROC_2648
2nd row	PROC_9084
3rd row	PROC_9747
4th row	PROC_4334
5th row	PROC_8408

Value	Count	Frequency (%)
proc_5757	150	< 0.1%
proc_7096	148	< 0.1%
proc_3766	148	< 0.1%
proc_3818	146	< 0.1%
proc_6126	145	< 0.1%
proc_4933	145	< 0.1%
proc_6065	144	< 0.1%
proc_1628	144	< 0.1%
proc_4622	144	< 0.1%
proc_7294	144	< 0.1%
Other values (8990)	998542	99.9%

Most occurring characters

Value	Count	Frequency (%)
P	1000000	11.1%
R	1000000	11.1%
O	1000000	11.1%
C	1000000	11.1%
_	1000000	11.1%
7	412180	4.6%
1	411808	4.6%
9	411421	4.6%
5	411343	4.6%
4	411120	4.6%
Other values (5)	1942128	21.6%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	4000000	44.4%
Decimal Number	4000000	44.4%
Connector Punctuation	1000000	11.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
7	412180	10.3%
1	411808	10.3%
9	411421	10.3%
5	411343	10.3%
4	411120	10.3%
3	410897	10.3%
6	410830	10.3%
2	410730	10.3%
8	410263	10.3%
0	299408	7.5%

Uppercase Letter

Value	Count	Frequency (%)
P	1000000	25.0%
R	1000000	25.0%
O	1000000	25.0%
C	1000000	25.0%

Connector Punctuation

Value	Count	Frequency (%)
_	1000000	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	5000000	55.6%
Latin	4000000	44.4%

Most frequent character per script

Common

Value	Count	Frequency (%)
_	1000000	20.0%
7	412180	8.2%
1	411808	8.2%
9	411421	8.2%
5	411343	8.2%
4	411120	8.2%
3	410897	8.2%
6	410830	8.2%
2	410730	8.2%
8	410263	8.2%

Latin

Value	Count	Frequency (%)
P	1000000	25.0%
R	1000000	25.0%
O	1000000	25.0%
C	1000000	25.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	9000000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
P	1000000	11.1%
R	1000000	11.1%
O	1000000	11.1%
C	1000000	11.1%
_	1000000	11.1%
7	412180	4.6%
1	411808	4.6%
9	411421	4.6%
5	411343	4.6%
4	411120	4.6%
Other values (5)	1942128	21.6%

Claim_Date
Categorical

CONSTANT

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	7.6 MiB

2024-04-24	1000000

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	10000000
Distinct characters	4
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2024-04-24
2nd row	2024-04-24
3rd row	2024-04-24
4th row	2024-04-24
5th row	2024-04-24

Common Values

Value	Count	Frequency (%)
2024-04-24	1000000	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
2024-04-24	1000000	100.0%

Most occurring characters

Value	Count	Frequency (%)
2	3000000	30.0%
4	3000000	30.0%
0	2000000	20.0%
-	2000000	20.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	8000000	80.0%
Dash Punctuation	2000000	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	3000000	37.5%
4	3000000	37.5%
0	2000000	25.0%

Dash Punctuation

Value	Count	Frequency (%)
-	2000000	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	10000000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	3000000	30.0%
4	3000000	30.0%
0	2000000	20.0%
-	2000000	20.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	10000000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	3000000	30.0%
4	3000000	30.0%
0	2000000	20.0%
-	2000000	20.0%

Admission_Date
Categorical

Distinct	30
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	7.6 MiB

2024-04-15	33573
2024-04-02	33568
2024-04-04	33564
2024-04-17	33534
2024-03-31	33511
Other values (25)	832250

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	10000000
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2024-03-26
2nd row	2024-04-07
3rd row	2024-04-01
4th row	2024-03-31
5th row	2024-03-27

Common Values

Value	Count	Frequency (%)
2024-04-15	33573	3.4%
2024-04-02	33568	3.4%
2024-04-04	33564	3.4%
2024-04-17	33534	3.4%
2024-03-31	33511	3.4%
2024-04-09	33498	3.3%
2024-04-20	33493	3.3%
2024-04-01	33488	3.3%
2024-03-28	33473	3.3%
2024-03-27	33453	3.3%
Other values (20)	664845	66.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2024-04-15	33573	3.4%
2024-04-02	33568	3.4%
2024-04-04	33564	3.4%
2024-04-17	33534	3.4%
2024-03-31	33511	3.4%
2024-04-09	33498	3.3%
2024-04-20	33493	3.3%
2024-04-01	33488	3.3%
2024-03-28	33473	3.3%
2024-03-27	33453	3.3%
Other values (20)	664845	66.5%

Most occurring characters

Value	Count	Frequency (%)
0	2400609	24.0%
2	2399990	24.0%
-	2000000	20.0%
4	1833573	18.3%
1	466098	4.7%
3	399544	4.0%
7	100409	1.0%
5	100215	1.0%
8	99941	1.0%
9	99911	1.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	8000000	80.0%
Dash Punctuation	2000000	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2400609	30.0%
2	2399990	30.0%
4	1833573	22.9%
1	466098	5.8%
3	399544	5.0%
7	100409	1.3%
5	100215	1.3%
8	99941	1.2%
9	99911	1.2%
6	99710	1.2%

Dash Punctuation

Value	Count	Frequency (%)
-	2000000	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	10000000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2400609	24.0%
2	2399990	24.0%
-	2000000	20.0%
4	1833573	18.3%
1	466098	4.7%
3	399544	4.0%
7	100409	1.0%
5	100215	1.0%
8	99941	1.0%
9	99911	1.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	10000000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2400609	24.0%
2	2399990	24.0%
-	2000000	20.0%
4	1833573	18.3%
1	466098	4.7%
3	399544	4.0%
7	100409	1.0%
5	100215	1.0%
8	99941	1.0%
9	99911	1.0%

Discharge_Date
Categorical

Distinct	30
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	7.6 MiB

2024-05-04	33631
2024-05-24	33623
2024-04-27	33620
2024-05-01	33515
2024-05-08	33493
Other values (25)	832118

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	10000000
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2024-05-08
2nd row	2024-05-03
3rd row	2024-05-24
4th row	2024-04-27
5th row	2024-05-12

Common Values

Value	Count	Frequency (%)
2024-05-04	33631	3.4%
2024-05-24	33623	3.4%
2024-04-27	33620	3.4%
2024-05-01	33515	3.4%
2024-05-08	33493	3.3%
2024-05-02	33430	3.3%
2024-05-18	33424	3.3%
2024-05-22	33417	3.3%
2024-05-19	33409	3.3%
2024-05-09	33384	3.3%
Other values (20)	665054	66.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2024-05-04	33631	3.4%
2024-05-24	33623	3.4%
2024-04-27	33620	3.4%
2024-05-01	33515	3.4%
2024-05-08	33493	3.3%
2024-05-02	33430	3.3%
2024-05-18	33424	3.3%
2024-05-22	33417	3.3%
2024-05-19	33409	3.3%
2024-05-09	33384	3.3%
Other values (20)	665054	66.5%

Most occurring characters

Value	Count	Frequency (%)
2	2433572	24.3%
0	2400020	24.0%
-	2000000	20.0%
4	1300618	13.0%
5	899670	9.0%
1	433168	4.3%
3	132957	1.3%
9	100117	1.0%
8	100083	1.0%
7	100073	1.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	8000000	80.0%
Dash Punctuation	2000000	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	2433572	30.4%
0	2400020	30.0%
4	1300618	16.3%
5	899670	11.2%
1	433168	5.4%
3	132957	1.7%
9	100117	1.3%
8	100083	1.3%
7	100073	1.3%
6	99722	1.2%

Dash Punctuation

Value	Count	Frequency (%)
-	2000000	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	10000000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	2433572	24.3%
0	2400020	24.0%
-	2000000	20.0%
4	1300618	13.0%
5	899670	9.0%
1	433168	4.3%
3	132957	1.3%
9	100117	1.0%
8	100083	1.0%
7	100073	1.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	10000000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	2433572	24.3%
0	2400020	24.0%
-	2000000	20.0%
4	1300618	13.0%
5	899670	9.0%
1	433168	4.3%
3	132957	1.3%
9	100117	1.0%
8	100083	1.0%
7	100073	1.0%

Claim_Amount
Real number (ℝ)

Distinct	629499
Distinct (%)	62.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5049.9249

Minimum	100.02
Maximum	9999.99
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	7.6 MiB

Quantile statistics

Minimum	100.02
5-th percentile	596.46
Q1	2577.415
median	5051.705
Q3	7522.1925
95-th percentile	9505.78
Maximum	9999.99
Range	9899.97
Interquartile range (IQR)	4944.7775

Descriptive statistics

Standard deviation	2856.3685
Coefficient of variation (CV)	0.56562594
Kurtosis	-1.198428
Mean	5049.9249
Median Absolute Deviation (MAD)	2472.43
Skewness	0.00013385167
Sum	5.0499249 × 10⁹
Variance	8158841.2
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
8765.06	8	< 0.1%
6980.66	8	< 0.1%
8646.11	8	< 0.1%
3208.51	8	< 0.1%
3010.55	8	< 0.1%
7155.47	8	< 0.1%
9082.22	8	< 0.1%
1771.85	8	< 0.1%
828.37	7	< 0.1%
4566.8	7	< 0.1%
Other values (629489)	999922	> 99.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
100.02	1	< 0.1%
100.03	2	< 0.1%
100.06	1	< 0.1%
100.07	2	< 0.1%
100.08	3	< 0.1%
100.09	1	< 0.1%
100.11	3	< 0.1%
100.12	1	< 0.1%
100.13	1	< 0.1%
100.14	1	< 0.1%

Value	Count	Frequency (%)
9999.99	1	< 0.1%
9999.95	1	< 0.1%
9999.94	2	< 0.1%
9999.93	1	< 0.1%
9999.92	3	< 0.1%
9999.91	2	< 0.1%
9999.89	1	< 0.1%
9999.88	2	< 0.1%
9999.85	2	< 0.1%
9999.83	1	< 0.1%

Paid_Amount
Real number (ℝ)

Distinct	630895
Distinct (%)	63.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5023.6087

Minimum	50.05
Maximum	10000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	7.6 MiB

Quantile statistics

Minimum	50.05
5-th percentile	551.4195
Q1	2538.36
median	5023.16
Q3	7509.83
95-th percentile	9501.0705
Maximum	10000
Range	9949.95
Interquartile range (IQR)	4971.47

Descriptive statistics

Standard deviation	2870.8348
Coefficient of variation (CV)	0.57146863
Kurtosis	-1.1993951
Mean	5023.6087
Median Absolute Deviation (MAD)	2485.845
Skewness	0.00083578856
Sum	5.0236087 × 10⁹
Variance	8241692.4
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
3603.76	9	< 0.1%
7229.21	9	< 0.1%
1534.1	8	< 0.1%
7144.82	8	< 0.1%
4222.67	8	< 0.1%
3293.1	8	< 0.1%
2749.41	8	< 0.1%
2415.43	8	< 0.1%
7272.34	8	< 0.1%
7135.83	8	< 0.1%
Other values (630885)	999918	> 99.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
50.05	3	< 0.1%
50.06	1	< 0.1%
50.08	3	< 0.1%
50.1	1	< 0.1%
50.11	4	< 0.1%
50.17	2	< 0.1%
50.18	2	< 0.1%
50.19	1	< 0.1%
50.2	3	< 0.1%
50.21	2	< 0.1%

Value	Count	Frequency (%)
10000	1	< 0.1%
9999.96	1	< 0.1%
9999.92	2	< 0.1%
9999.91	1	< 0.1%
9999.88	2	< 0.1%
9999.86	1	< 0.1%
9999.85	1	< 0.1%
9999.82	1	< 0.1%
9999.77	2	< 0.1%
9999.76	1	< 0.1%

Provider_Specialty
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	7.6 MiB

Cardiology	334684
General Medicine	332797
Orthopedics	332519

Length

Max length	16
Median length	11
Mean length	12.329301
Min length	10

Characters and Unicode

Total characters	12329301
Distinct characters	20
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Orthopedics
2nd row	Cardiology
3rd row	Orthopedics
4th row	Cardiology
5th row	Orthopedics

Common Values

Value	Count	Frequency (%)
Cardiology	334684	33.5%
General Medicine	332797	33.3%
Orthopedics	332519	33.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
cardiology	334684	25.1%
general	332797	25.0%
medicine	332797	25.0%
orthopedics	332519	24.9%

Most occurring characters

Value	Count	Frequency (%)
e	1663707	13.5%
i	1332797	10.8%
o	1001887	8.1%
r	1000000	8.1%
d	1000000	8.1%
a	667481	5.4%
l	667481	5.4%
n	665594	5.4%
c	665316	5.4%
C	334684	2.7%
Other values (10)	3330354	27.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	10663707	86.5%
Uppercase Letter	1332797	10.8%
Space Separator	332797	2.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	1663707	15.6%
i	1332797	12.5%
o	1001887	9.4%
r	1000000	9.4%
d	1000000	9.4%
a	667481	6.3%
l	667481	6.3%
n	665594	6.2%
c	665316	6.2%
y	334684	3.1%
Other values (5)	1664760	15.6%

Uppercase Letter

Value	Count	Frequency (%)
C	334684	25.1%
G	332797	25.0%
M	332797	25.0%
O	332519	24.9%

Space Separator

Value	Count	Frequency (%)
	332797	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	11996504	97.3%
Common	332797	2.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	1663707	13.9%
i	1332797	11.1%
o	1001887	8.4%
r	1000000	8.3%
d	1000000	8.3%
a	667481	5.6%
l	667481	5.6%
n	665594	5.5%
c	665316	5.5%
C	334684	2.8%
Other values (9)	2997557	25.0%

Common

Value	Count	Frequency (%)
	332797	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	12329301	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	1663707	13.5%
i	1332797	10.8%
o	1001887	8.1%
r	1000000	8.1%
d	1000000	8.1%
a	667481	5.4%
l	667481	5.4%
n	665594	5.4%
c	665316	5.4%
C	334684	2.7%
Other values (10)	3330354	27.0%

Patient_Age
Real number (ℝ)

Distinct	73
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	53.988752

Minimum	18
Maximum	90
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	7.6 MiB

Quantile statistics

Minimum	18
5-th percentile	21
Q1	36
median	54
Q3	72
95-th percentile	87
Maximum	90
Range	72
Interquartile range (IQR)	36

Descriptive statistics

Standard deviation	21.079818
Coefficient of variation (CV)	0.39044834
Kurtosis	-1.2022395
Mean	53.988752
Median Absolute Deviation (MAD)	18
Skewness	0.00021125585
Sum	53988752
Variance	444.35875
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
27	13970	1.4%
23	13962	1.4%
71	13939	1.4%
22	13874	1.4%
39	13843	1.4%
77	13832	1.4%
67	13826	1.4%
78	13818	1.4%
53	13818	1.4%
32	13817	1.4%
Other values (63)	861301	86.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
18	13704	1.4%
19	13619	1.4%
20	13744	1.4%
21	13578	1.4%
22	13874	1.4%
23	13962	1.4%
24	13751	1.4%
25	13647	1.4%
26	13608	1.4%
27	13970	1.4%

Value	Count	Frequency (%)
90	13664	1.4%
89	13720	1.4%
88	13590	1.4%
87	13679	1.4%
86	13705	1.4%
85	13814	1.4%
84	13554	1.4%
83	13759	1.4%
82	13684	1.4%
81	13781	1.4%

Patient_Gender
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	7.6 MiB

Male	500053
Female	499947

Length

Max length	6
Median length	4
Mean length	4.999894
Min length	4

Characters and Unicode

Total characters	4999894
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Female
2nd row	Female
3rd row	Male
4th row	Male
5th row	Female

Common Values

Value	Count	Frequency (%)
Male	500053	50.0%
Female	499947	50.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
male	500053	50.0%
female	499947	50.0%

Most occurring characters

Value	Count	Frequency (%)
e	1499947	30.0%
a	1000000	20.0%
l	1000000	20.0%
M	500053	10.0%
F	499947	10.0%
m	499947	10.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	3999894	80.0%
Uppercase Letter	1000000	20.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	1499947	37.5%
a	1000000	25.0%
l	1000000	25.0%
m	499947	12.5%

Uppercase Letter

Value	Count	Frequency (%)
M	500053	50.0%
F	499947	50.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	4999894	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	1499947	30.0%
a	1000000	20.0%
l	1000000	20.0%
M	500053	10.0%
F	499947	10.0%
m	499947	10.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4999894	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	1499947	30.0%
a	1000000	20.0%
l	1000000	20.0%
M	500053	10.0%
F	499947	10.0%
m	499947	10.0%

Fraud_Label
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	7.6 MiB

0	500449
1	499551

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1000000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	500449	50.0%
1	499551	50.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	500449	50.0%
1	499551	50.0%

Most occurring characters

Value	Count	Frequency (%)
0	500449	50.0%
1	499551	50.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1000000	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	500449	50.0%
1	499551	50.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1000000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	500449	50.0%
1	499551	50.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1000000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	500449	50.0%
1	499551	50.0%

Investigation_Details
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	7.6 MiB

Under investigation	333505
Suspicious	333351
Cleared	333144

Length

Max length	19
Median length	10
Mean length	12.002113
Min length	7

Characters and Unicode

Total characters	12002113
Distinct characters	19
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Cleared
2nd row	Under investigation
3rd row	Cleared
4th row	Suspicious
5th row	Under investigation

Common Values

Value	Count	Frequency (%)
Under investigation	333505	33.4%
Suspicious	333351	33.3%
Cleared	333144	33.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
under	333505	25.0%
investigation	333505	25.0%
suspicious	333351	25.0%
cleared	333144	25.0%

Most occurring characters

Value	Count	Frequency (%)
i	1667217	13.9%
e	1333298	11.1%
n	1000515	8.3%
s	1000207	8.3%
t	667010	5.6%
o	666856	5.6%
u	666702	5.6%
a	666649	5.6%
d	666649	5.6%
r	666649	5.6%
Other values (9)	3000361	25.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	10668608	88.9%
Uppercase Letter	1000000	8.3%
Space Separator	333505	2.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
i	1667217	15.6%
e	1333298	12.5%
n	1000515	9.4%
s	1000207	9.4%
t	667010	6.3%
o	666856	6.3%
u	666702	6.2%
a	666649	6.2%
d	666649	6.2%
r	666649	6.2%
Other values (5)	1666856	15.6%

Uppercase Letter

Value	Count	Frequency (%)
U	333505	33.4%
S	333351	33.3%
C	333144	33.3%

Space Separator

Value	Count	Frequency (%)
	333505	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	11668608	97.2%
Common	333505	2.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
i	1667217	14.3%
e	1333298	11.4%
n	1000515	8.6%
s	1000207	8.6%
t	667010	5.7%
o	666856	5.7%
u	666702	5.7%
a	666649	5.7%
d	666649	5.7%
r	666649	5.7%
Other values (8)	2666856	22.9%

Common

Value	Count	Frequency (%)
	333505	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	12002113	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
i	1667217	13.9%
e	1333298	11.1%
n	1000515	8.3%
s	1000207	8.3%
t	667010	5.6%
o	666856	5.6%
u	666702	5.6%
a	666649	5.6%
d	666649	5.6%
r	666649	5.6%
Other values (9)	3000361	25.0%

Policy_Type
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	7.6 MiB

HMO	500937
PPO	499063

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	3000000
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	HMO
2nd row	PPO
3rd row	HMO
4th row	PPO
5th row	PPO

Common Values

Value	Count	Frequency (%)
HMO	500937	50.1%
PPO	499063	49.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
hmo	500937	50.1%
ppo	499063	49.9%

Most occurring characters

Value	Count	Frequency (%)
O	1000000	33.3%
P	998126	33.3%
H	500937	16.7%
M	500937	16.7%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	3000000	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
O	1000000	33.3%
P	998126	33.3%
H	500937	16.7%
M	500937	16.7%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3000000	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
O	1000000	33.3%
P	998126	33.3%
H	500937	16.7%
M	500937	16.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3000000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
O	1000000	33.3%
P	998126	33.3%
H	500937	16.7%
M	500937	16.7%

Coverage_Amount
Real number (ℝ)

Distinct	367043
Distinct (%)	36.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2999.7301

Minimum	1000
Maximum	5000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	7.6 MiB

Quantile statistics

Minimum	1000
5-th percentile	1200.87
Q1	2000.05
median	2999.905
Q3	3998.2325
95-th percentile	4799.5605
Maximum	5000
Range	4000
Interquartile range (IQR)	1998.1825

Descriptive statistics

Standard deviation	1154.2059
Coefficient of variation (CV)	0.3847699
Kurtosis	-1.1989104
Mean	2999.7301
Median Absolute Deviation (MAD)	999.125
Skewness	1.4091863 × 10^-5
Sum	2.9997301 × 10⁹
Variance	1332191.1
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
4364.56	13	< 0.1%
1624.74	13	< 0.1%
4380.77	12	< 0.1%
3957.21	12	< 0.1%
2456.5	12	< 0.1%
1286.24	12	< 0.1%
2992.39	12	< 0.1%
4464.15	12	< 0.1%
1420.82	12	< 0.1%
2544.41	11	< 0.1%
Other values (367033)	999879	> 99.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1000	1	< 0.1%
1000.02	2	< 0.1%
1000.03	2	< 0.1%
1000.05	3	< 0.1%
1000.06	4	< 0.1%
1000.07	2	< 0.1%
1000.08	2	< 0.1%
1000.09	1	< 0.1%
1000.11	1	< 0.1%
1000.12	4	< 0.1%

Value	Count	Frequency (%)
5000	1	< 0.1%
4999.98	1	< 0.1%
4999.97	1	< 0.1%
4999.96	5	< 0.1%
4999.95	2	< 0.1%
4999.94	4	< 0.1%
4999.93	1	< 0.1%
4999.92	3	< 0.1%
4999.91	5	< 0.1%
4999.9	6	< 0.1%

Total_Charges
Real number (ℝ)

Distinct	629457
Distinct (%)	62.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5047.0554

Minimum	100.03
Maximum	9999.99
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	7.6 MiB

Quantile statistics

Minimum	100.03
5-th percentile	593.3895
Q1	2568.77
median	5045.89
Q3	7524.6475
95-th percentile	9500.7
Maximum	9999.99
Range	9899.96
Interquartile range (IQR)	4955.8775

Descriptive statistics

Standard deviation	2859.1245
Coefficient of variation (CV)	0.56649358
Kurtosis	-1.202511
Mean	5047.0554
Median Absolute Deviation (MAD)	2477.84
Skewness	0.0014312172
Sum	5.0470554 × 10⁹
Variance	8174592.8
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
4842.87	9	< 0.1%
980.8	8	< 0.1%
8468.94	8	< 0.1%
1391.03	8	< 0.1%
8489.48	8	< 0.1%
4695.22	8	< 0.1%
5214.51	8	< 0.1%
1751.35	7	< 0.1%
8575.77	7	< 0.1%
6547.37	7	< 0.1%
Other values (629447)	999922	> 99.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
100.03	1	< 0.1%
100.04	2	< 0.1%
100.05	1	< 0.1%
100.06	2	< 0.1%
100.08	1	< 0.1%
100.09	1	< 0.1%
100.1	2	< 0.1%
100.11	2	< 0.1%
100.12	3	< 0.1%
100.13	1	< 0.1%

Value	Count	Frequency (%)
9999.99	1	< 0.1%
9999.98	1	< 0.1%
9999.95	1	< 0.1%
9999.94	1	< 0.1%
9999.92	1	< 0.1%
9999.91	1	< 0.1%
9999.9	2	< 0.1%
9999.89	1	< 0.1%
9999.88	2	< 0.1%
9999.86	1	< 0.1%

Payment_Type
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	7.6 MiB

Check	333862
Electronic Funds Transfer	333191
Credit Card	332947

Length

Max length	25
Median length	11
Mean length	13.661502
Min length	5

Characters and Unicode

Total characters	13661502
Distinct characters	20
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Credit Card
2nd row	Credit Card
3rd row	Credit Card
4th row	Check
5th row	Electronic Funds Transfer

Common Values

Value	Count	Frequency (%)
Check	333862	33.4%
Electronic Funds Transfer	333191	33.3%
Credit Card	332947	33.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
check	333862	16.7%
electronic	333191	16.7%
funds	333191	16.7%
transfer	333191	16.7%
credit	332947	16.7%
card	332947	16.7%

Most occurring characters

Value	Count	Frequency (%)
r	1665467	12.2%
e	1333191	9.8%
c	1000244	7.3%
C	999756	7.3%
n	999573	7.3%
	999329	7.3%
d	999085	7.3%
s	666382	4.9%
t	666138	4.9%
i	666138	4.9%
Other values (10)	3666199	26.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	10662844	78.1%
Uppercase Letter	1999329	14.6%
Space Separator	999329	7.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	1665467	15.6%
e	1333191	12.5%
c	1000244	9.4%
n	999573	9.4%
d	999085	9.4%
s	666382	6.2%
t	666138	6.2%
i	666138	6.2%
a	666138	6.2%
k	333862	3.1%
Other values (5)	1666626	15.6%

Uppercase Letter

Value	Count	Frequency (%)
C	999756	50.0%
E	333191	16.7%
F	333191	16.7%
T	333191	16.7%

Space Separator

Value	Count	Frequency (%)
	999329	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	12662173	92.7%
Common	999329	7.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
r	1665467	13.2%
e	1333191	10.5%
c	1000244	7.9%
C	999756	7.9%
n	999573	7.9%
d	999085	7.9%
s	666382	5.3%
t	666138	5.3%
i	666138	5.3%
a	666138	5.3%
Other values (9)	3000061	23.7%

Common

Value	Count	Frequency (%)
	999329	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	13661502	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
r	1665467	12.2%
e	1333191	9.8%
c	1000244	7.3%
C	999756	7.3%
n	999573	7.3%
	999329	7.3%
d	999085	7.3%
s	666382	4.9%
t	666138	4.9%
i	666138	4.9%
Other values (10)	3666199	26.8%

State
Categorical

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	7.6 MiB

Tokyo	200487
Mumbai	200109
Bangkok	199945
Beijing	199791
Seoul	199668

Length

Max length	7
Median length	6
Mean length	5.999581
Min length	5

Characters and Unicode

Total characters	5999581
Distinct characters	17
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Bangkok
2nd row	Mumbai
3rd row	Seoul
4th row	Tokyo
5th row	Mumbai

Common Values

Value	Count	Frequency (%)
Tokyo	200487	20.0%
Mumbai	200109	20.0%
Bangkok	199945	20.0%
Beijing	199791	20.0%
Seoul	199668	20.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
tokyo	200487	20.0%
mumbai	200109	20.0%
bangkok	199945	20.0%
beijing	199791	20.0%
seoul	199668	20.0%

Most occurring characters

Value	Count	Frequency (%)
o	800587	13.3%
k	600377	10.0%
i	599691	10.0%
a	400054	6.7%
u	399777	6.7%
g	399736	6.7%
n	399736	6.7%
B	399736	6.7%
e	399459	6.7%
T	200487	3.3%
Other values (7)	1399941	23.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	4999581	83.3%
Uppercase Letter	1000000	16.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	800587	16.0%
k	600377	12.0%
i	599691	12.0%
a	400054	8.0%
u	399777	8.0%
g	399736	8.0%
n	399736	8.0%
e	399459	8.0%
y	200487	4.0%
b	200109	4.0%
Other values (3)	599568	12.0%

Uppercase Letter

Value	Count	Frequency (%)
B	399736	40.0%
T	200487	20.0%
M	200109	20.0%
S	199668	20.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	5999581	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	800587	13.3%
k	600377	10.0%
i	599691	10.0%
a	400054	6.7%
u	399777	6.7%
g	399736	6.7%
n	399736	6.7%
B	399736	6.7%
e	399459	6.7%
T	200487	3.3%
Other values (7)	1399941	23.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5999581	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
o	800587	13.3%
k	600377	10.0%
i	599691	10.0%
a	400054	6.7%
u	399777	6.7%
g	399736	6.7%
n	399736	6.7%
B	399736	6.7%
e	399459	6.7%
T	200487	3.3%
Other values (7)	1399941	23.3%

Email
Text

Distinct	522063
Distinct (%)	52.2%
Missing	0
Missing (%)	0.0%
Memory size	7.6 MiB

Length

Max length	34
Median length	30
Mean length	21.825615
Min length	15

Characters and Unicode

Total characters	21825615
Distinct characters	38
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	351695 ?
Unique (%)	35.2%

Sample

1st row	charlenekoch@example.org
2nd row	ayersmelanie@example.org
3rd row	madison17@example.com
4th row	brittany18@example.org
5th row	nharris@example.net

Value	Count	Frequency (%)
zsmith@example.com	96	< 0.1%
tsmith@example.net	91	< 0.1%
ismith@example.org	87	< 0.1%
csmith@example.net	86	< 0.1%
gsmith@example.org	86	< 0.1%
wsmith@example.net	83	< 0.1%
psmith@example.org	83	< 0.1%
ssmith@example.net	83	< 0.1%
dsmith@example.org	82	< 0.1%
ysmith@example.org	81	< 0.1%
Other values (522053)	999142	99.9%

Most occurring characters

Value	Count	Frequency (%)
e	3302750	15.1%
a	2025063	9.3%
m	1676717	7.7%
l	1577273	7.2%
o	1223635	5.6%
r	1137302	5.2%
p	1129127	5.2%
n	1119863	5.1%
x	1023327	4.7%
@	1000000	4.6%
Other values (28)	6610558	30.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	19325749	88.5%
Other Punctuation	2000000	9.2%
Decimal Number	499866	2.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	3302750	17.1%
a	2025063	10.5%
m	1676717	8.7%
l	1577273	8.2%
o	1223635	6.3%
r	1137302	5.9%
p	1129127	5.8%
n	1119863	5.8%
x	1023327	5.3%
t	757314	3.9%
Other values (16)	4353378	22.5%

Decimal Number

Value	Count	Frequency (%)
6	50257	10.1%
3	50177	10.0%
1	50166	10.0%
7	50044	10.0%
0	50044	10.0%
5	49991	10.0%
8	49942	10.0%
2	49866	10.0%
9	49761	10.0%
4	49618	9.9%

Other Punctuation

Value	Count	Frequency (%)
@	1000000	50.0%
.	1000000	50.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	19325749	88.5%
Common	2499866	11.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	3302750	17.1%
a	2025063	10.5%
m	1676717	8.7%
l	1577273	8.2%
o	1223635	6.3%
r	1137302	5.9%
p	1129127	5.8%
n	1119863	5.8%
x	1023327	5.3%
t	757314	3.9%
Other values (16)	4353378	22.5%

Common

Value	Count	Frequency (%)
@	1000000	40.0%
.	1000000	40.0%
6	50257	2.0%
3	50177	2.0%
1	50166	2.0%
7	50044	2.0%
0	50044	2.0%
5	49991	2.0%
8	49942	2.0%
2	49866	2.0%
Other values (2)	99379	4.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	21825615	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	3302750	15.1%
a	2025063	9.3%
m	1676717	7.7%
l	1577273	7.2%
o	1223635	5.6%
r	1137302	5.2%
p	1129127	5.2%
n	1119863	5.1%
x	1023327	4.7%
@	1000000	4.6%
Other values (28)	6610558	30.3%

Phone_Number
Text

UNIQUE

Distinct	1000000
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	7.6 MiB

Length

Max length	22
Median length	19
Mean length	16.164689
Min length	10

Characters and Unicode

Total characters	16164689
Distinct characters	16
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1000000 ?
Unique (%)	100.0%

Sample

1st row	737.572.4230
2nd row	001-284-213-6827x6429
3rd row	(320)856-6983
4th row	860-217-1502
5th row	658.620.1024

Value	Count	Frequency (%)
737.572.4230	1	< 0.1%
3583554754	1	< 0.1%
331.692.3101	1	< 0.1%
001-815-565-2083x183	1	< 0.1%
320)856-6983	1	< 0.1%
860-217-1502	1	< 0.1%
658.620.1024	1	< 0.1%
001-658-466-2696	1	< 0.1%
001-729-848-5510x689	1	< 0.1%
712)653-1749x486	1	< 0.1%
Other values (999990)	999990	> 99.9%

Most occurring characters

Value	Count	Frequency (%)
-	1561496	9.7%
0	1361012	8.4%
1	1360874	8.4%
3	1291978	8.0%
7	1291304	8.0%
9	1291024	8.0%
5	1289568	8.0%
2	1289519	8.0%
6	1289331	8.0%
8	1289199	8.0%
Other values (6)	2849384	17.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	13042315	80.7%
Dash Punctuation	1561496	9.7%
Lowercase Letter	600600	3.7%
Other Punctuation	398746	2.5%
Open Punctuation	200595	1.2%
Close Punctuation	200595	1.2%
Math Symbol	160342	1.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1361012	10.4%
1	1360874	10.4%
3	1291978	9.9%
7	1291304	9.9%
9	1291024	9.9%
5	1289568	9.9%
2	1289519	9.9%
6	1289331	9.9%
8	1289199	9.9%
4	1288506	9.9%

Dash Punctuation

Value	Count	Frequency (%)
-	1561496	100.0%

Lowercase Letter

Value	Count	Frequency (%)
x	600600	100.0%

Other Punctuation

Value	Count	Frequency (%)
.	398746	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	200595	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	200595	100.0%

Math Symbol

Value	Count	Frequency (%)
+	160342	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	15564089	96.3%
Latin	600600	3.7%

Most frequent character per script

Common

Value	Count	Frequency (%)
-	1561496	10.0%
0	1361012	8.7%
1	1360874	8.7%
3	1291978	8.3%
7	1291304	8.3%
9	1291024	8.3%
5	1289568	8.3%
2	1289519	8.3%
6	1289331	8.3%
8	1289199	8.3%
Other values (5)	2248784	14.4%

Latin

Value	Count	Frequency (%)
x	600600	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	16164689	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
-	1561496	9.7%
0	1361012	8.4%
1	1360874	8.4%
3	1291978	8.0%
7	1291304	8.0%
9	1291024	8.0%
5	1289568	8.0%
2	1289519	8.0%
6	1289331	8.0%
8	1289199	8.0%
Other values (6)	2849384	17.6%

Address
Text

Distinct	999998
Distinct (%)	> 99.9%
Missing	0
Missing (%)	0.0%
Memory size	7.6 MiB

Length

Max length	70
Median length	61
Mean length	44.709032
Min length	20

Characters and Unicode

Total characters	44709032
Distinct characters	65
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	999996 ?
Unique (%)	> 99.9%

Sample

1st row	9475 Christine Fort, Riveraview, TX 28683
2nd row	012 Martinez Bridge, Popeview, OK 75771
3rd row	8544 Roberts Estate Apt. 392, Port Mistyshire, WY 86425
4th row	52151 Antonio Hill Suite 655, Lake Christian, NH 49512
5th row	7112 Christopher Village Suite 120, North Emily, NJ 46503

Value	Count	Frequency (%)
apt	223663	3.0%
suite	223393	3.0%
port	72202	1.0%
box	72052	1.0%
lake	67628	0.9%
west	64431	0.9%
south	64078	0.9%
east	63875	0.9%
north	63853	0.9%
new	63241	0.9%
Other values (141157)	6398638	86.7%

Most occurring characters

Value	Count	Frequency (%)
	6377054	14.3%
e	2299219	5.1%
,	1928113	4.3%
a	1855956	4.2%
t	1776293	4.0%
r	1659075	3.7%
i	1462249	3.3%
o	1461518	3.3%
n	1389740	3.1%
s	1192085	2.7%
Other values (55)	23307730	52.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	19406357	43.4%
Decimal Number	10485857	23.5%
Space Separator	6377054	14.3%
Uppercase Letter	6287988	14.1%
Other Punctuation	2151776	4.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	2299219	11.8%
a	1855956	9.6%
t	1776293	9.2%
r	1659075	8.5%
i	1462249	7.5%
o	1461518	7.5%
n	1389740	7.2%
s	1192085	6.1%
l	1010170	5.2%
h	862985	4.4%
Other values (16)	4437067	22.9%

Uppercase Letter

Value	Count	Frequency (%)
A	735093	11.7%
S	699519	11.1%
P	460003	7.3%
M	431983	6.9%
C	385746	6.1%
N	350069	5.6%
L	254999	4.1%
D	254318	4.0%
R	243166	3.9%
W	243058	3.9%
Other values (16)	2230034	35.5%

Decimal Number

Value	Count	Frequency (%)
5	1051646	10.0%
6	1050617	10.0%
8	1050387	10.0%
4	1050125	10.0%
7	1049378	10.0%
3	1049141	10.0%
1	1048331	10.0%
2	1047967	10.0%
9	1047842	10.0%
0	1040423	9.9%

Other Punctuation

Value	Count	Frequency (%)
,	1928113	89.6%
.	223663	10.4%

Space Separator

Value	Count	Frequency (%)
	6377054	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	25694345	57.5%
Common	19014687	42.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	2299219	8.9%
a	1855956	7.2%
t	1776293	6.9%
r	1659075	6.5%
i	1462249	5.7%
o	1461518	5.7%
n	1389740	5.4%
s	1192085	4.6%
l	1010170	3.9%
h	862985	3.4%
Other values (42)	10725055	41.7%

Common

Value	Count	Frequency (%)
	6377054	33.5%
,	1928113	10.1%
5	1051646	5.5%
6	1050617	5.5%
8	1050387	5.5%
4	1050125	5.5%
7	1049378	5.5%
3	1049141	5.5%
1	1048331	5.5%
2	1047967	5.5%
Other values (3)	2311928	12.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	44709032	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	6377054	14.3%
e	2299219	5.1%
,	1928113	4.3%
a	1855956	4.2%
t	1776293	4.0%
r	1659075	3.7%
i	1462249	3.3%
o	1461518	3.3%
n	1389740	3.1%
s	1192085	2.7%
Other values (55)	23307730	52.1%

Nationality
Categorical

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	7.6 MiB

Japanese	201001
Thai	200063
Korean	199830
Chinese	199793
Indian	199313

Length

Max length	8
Median length	7
Mean length	6.201669
Min length	4

Characters and Unicode

Total characters	6201669
Distinct characters	15
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Korean
2nd row	Korean
3rd row	Indian
4th row	Thai
5th row	Thai

Common Values

Value	Count	Frequency (%)
Japanese	201001	20.1%
Thai	200063	20.0%
Korean	199830	20.0%
Chinese	199793	20.0%
Indian	199313	19.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
japanese	201001	20.1%
thai	200063	20.0%
korean	199830	20.0%
chinese	199793	20.0%
indian	199313	19.9%

Most occurring characters

Value	Count	Frequency (%)
e	1001418	16.1%
a	1001208	16.1%
n	999250	16.1%
i	599169	9.7%
s	400794	6.5%
h	399856	6.4%
J	201001	3.2%
p	201001	3.2%
T	200063	3.2%
K	199830	3.2%
Other values (5)	998079	16.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	5201669	83.9%
Uppercase Letter	1000000	16.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	1001418	19.3%
a	1001208	19.2%
n	999250	19.2%
i	599169	11.5%
s	400794	7.7%
h	399856	7.7%
p	201001	3.9%
o	199830	3.8%
r	199830	3.8%
d	199313	3.8%

Uppercase Letter

Value	Count	Frequency (%)
J	201001	20.1%
T	200063	20.0%
K	199830	20.0%
C	199793	20.0%
I	199313	19.9%

Most occurring scripts

Value	Count	Frequency (%)
Latin	6201669	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	1001418	16.1%
a	1001208	16.1%
n	999250	16.1%
i	599169	9.7%
s	400794	6.5%
h	399856	6.4%
J	201001	3.2%
p	201001	3.2%
T	200063	3.2%
K	199830	3.2%
Other values (5)	998079	16.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	6201669	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	1001418	16.1%
a	1001208	16.1%
n	999250	16.1%
i	599169	9.7%
s	400794	6.5%
h	399856	6.4%
J	201001	3.2%
p	201001	3.2%
T	200063	3.2%
K	199830	3.2%
Other values (5)	998079	16.1%

Passport_Number
Text

Distinct	999457
Distinct (%)	99.9%
Missing	0
Missing (%)	0.0%
Memory size	7.6 MiB

Length

Max length	11
Median length	11
Mean length	11
Min length	11

Characters and Unicode

Total characters	11000000
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	998914 ?
Unique (%)	99.9%

Sample

1st row	317-45-4815
2nd row	255-16-5382
3rd row	255-07-5680
4th row	210-10-2570
5th row	044-28-8553

Value	Count	Frequency (%)
531-17-4217	2	< 0.1%
734-90-6781	2	< 0.1%
144-98-1327	2	< 0.1%
278-81-0975	2	< 0.1%
779-37-8948	2	< 0.1%
648-07-1991	2	< 0.1%
699-28-0936	2	< 0.1%
402-36-5255	2	< 0.1%
479-51-5826	2	< 0.1%
065-65-8309	2	< 0.1%
Other values (999447)	999980	> 99.9%

Most occurring characters

Value	Count	Frequency (%)
-	2000000	18.2%
7	915769	8.3%
4	915162	8.3%
1	914201	8.3%
5	913177	8.3%
6	913082	8.3%
3	913017	8.3%
2	912359	8.3%
8	911622	8.3%
0	888901	8.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	9000000	81.8%
Dash Punctuation	2000000	18.2%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
7	915769	10.2%
4	915162	10.2%
1	914201	10.2%
5	913177	10.1%
6	913082	10.1%
3	913017	10.1%
2	912359	10.1%
8	911622	10.1%
0	888901	9.9%
9	802710	8.9%

Dash Punctuation

Value	Count	Frequency (%)
-	2000000	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	11000000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
-	2000000	18.2%
7	915769	8.3%
4	915162	8.3%
1	914201	8.3%
5	913177	8.3%
6	913082	8.3%
3	913017	8.3%
2	912359	8.3%
8	911622	8.3%
0	888901	8.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11000000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
-	2000000	18.2%
7	915769	8.3%
4	915162	8.3%
1	914201	8.3%
5	913177	8.3%
6	913082	8.3%
3	913017	8.3%
2	912359	8.3%
8	911622	8.3%
0	888901	8.1%

Employer
Text

Distinct	535712
Distinct (%)	53.6%
Missing	0
Missing (%)	0.0%
Memory size	7.6 MiB

Length

Max length	38
Median length	33
Mean length	16.536182
Min length	5

Characters and Unicode

Total characters	16536182
Distinct characters	54
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	471426 ?
Unique (%)	47.1%

Sample

1st row	Mitchell-Mcintosh
2nd row	Galloway, Castillo and Smith
3rd row	Phillips, Bryant and Murphy
4th row	Lee, Jackson and Hoffman
5th row	Peterson, Lopez and Blake

Value	Count	Frequency (%)
and	389443	16.3%
plc	55884	2.3%
sons	55868	2.3%
ltd	55569	2.3%
inc	55517	2.3%
llc	55473	2.3%
group	55150	2.3%
smith	28877	1.2%
johnson	22437	0.9%
williams	18685	0.8%
Other values (199047)	1597151	66.8%

Most occurring characters

Value	Count	Frequency (%)
n	1523592	9.2%
	1390054	8.4%
a	1374546	8.3%
e	1189066	7.2%
r	1075569	6.5%
o	1062224	6.4%
s	785990	4.8%
d	728511	4.4%
l	719158	4.3%
i	671214	4.1%
Other values (44)	6016258	36.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	11923300	72.1%
Uppercase Letter	2556289	15.5%
Space Separator	1390054	8.4%
Other Punctuation	333575	2.0%
Dash Punctuation	332964	2.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	1523592	12.8%
a	1374546	11.5%
e	1189066	10.0%
r	1075569	9.0%
o	1062224	8.9%
s	785990	6.6%
d	728511	6.1%
l	719158	6.0%
i	671214	5.6%
t	493676	4.1%
Other values (16)	2299754	19.3%

Uppercase Letter

Value	Count	Frequency (%)
L	304438	11.9%
C	262203	10.3%
S	228105	8.9%
M	209373	8.2%
G	169790	6.6%
W	163436	6.4%
B	161440	6.3%
H	161302	6.3%
P	152631	6.0%
R	137733	5.4%
Other values (15)	605838	23.7%

Space Separator

Value	Count	Frequency (%)
	1390054	100.0%

Other Punctuation

Value	Count	Frequency (%)
,	333575	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	332964	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	14479589	87.6%
Common	2056593	12.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	1523592	10.5%
a	1374546	9.5%
e	1189066	8.2%
r	1075569	7.4%
o	1062224	7.3%
s	785990	5.4%
d	728511	5.0%
l	719158	5.0%
i	671214	4.6%
t	493676	3.4%
Other values (41)	4856043	33.5%

Common

Value	Count	Frequency (%)
	1390054	67.6%
,	333575	16.2%
-	332964	16.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	16536182	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	1523592	9.2%
	1390054	8.4%
a	1374546	8.3%
e	1189066	7.2%
r	1075569	6.5%
o	1062224	6.4%
s	785990	4.8%
d	728511	4.4%
l	719158	4.3%
i	671214	4.1%
Other values (44)	6016258	36.4%

Occupation
Categorical

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	7.6 MiB

Businessman	200187
Engineer	200149
Teacher	200113
Artist	199966
Doctor	199585

Length

Max length	11
Median length	8
Mean length	7.601346
Min length	6

Characters and Unicode

Total characters	7601346
Distinct characters	18
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Teacher
2nd row	Businessman
3rd row	Teacher
4th row	Doctor
5th row	Engineer

Common Values

Value	Count	Frequency (%)
Businessman	200187	20.0%
Engineer	200149	20.0%
Teacher	200113	20.0%
Artist	199966	20.0%
Doctor	199585	20.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
businessman	200187	20.0%
engineer	200149	20.0%
teacher	200113	20.0%
artist	199966	20.0%
doctor	199585	20.0%

Most occurring characters

Value	Count	Frequency (%)
e	1000711	13.2%
n	800672	10.5%
s	800527	10.5%
r	799813	10.5%
i	600302	7.9%
t	599517	7.9%
a	400300	5.3%
c	399698	5.3%
o	399170	5.3%
B	200187	2.6%
Other values (8)	1600449	21.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	6601346	86.8%
Uppercase Letter	1000000	13.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	1000711	15.2%
n	800672	12.1%
s	800527	12.1%
r	799813	12.1%
i	600302	9.1%
t	599517	9.1%
a	400300	6.1%
c	399698	6.1%
o	399170	6.0%
u	200187	3.0%
Other values (3)	600449	9.1%

Uppercase Letter

Value	Count	Frequency (%)
B	200187	20.0%
E	200149	20.0%
T	200113	20.0%
A	199966	20.0%
D	199585	20.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	7601346	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	1000711	13.2%
n	800672	10.5%
s	800527	10.5%
r	799813	10.5%
i	600302	7.9%
t	599517	7.9%
a	400300	5.3%
c	399698	5.3%
o	399170	5.3%
B	200187	2.6%
Other values (8)	1600449	21.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	7601346	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	1000711	13.2%
n	800672	10.5%
s	800527	10.5%
r	799813	10.5%
i	600302	7.9%
t	599517	7.9%
a	400300	5.3%
c	399698	5.3%
o	399170	5.3%
B	200187	2.6%
Other values (8)	1600449	21.1%

Marital_Status
Categorical

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	7.6 MiB

Divorced	250387
Single	250280
Widowed	249678
Married	249655

Length

Max length	8
Median length	7
Mean length	7.000107
Min length	6

Characters and Unicode

Total characters	7000107
Distinct characters	16
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Divorced
2nd row	Married
3rd row	Divorced
4th row	Divorced
5th row	Divorced

Common Values

Value	Count	Frequency (%)
Divorced	250387	25.0%
Single	250280	25.0%
Widowed	249678	25.0%
Married	249655	25.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
divorced	250387	25.0%
single	250280	25.0%
widowed	249678	25.0%
married	249655	25.0%

Most occurring characters

Value	Count	Frequency (%)
i	1000000	14.3%
e	1000000	14.3%
d	999398	14.3%
r	749697	10.7%
o	500065	7.1%
D	250387	3.6%
v	250387	3.6%
c	250387	3.6%
S	250280	3.6%
n	250280	3.6%
Other values (6)	1499226	21.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	6000107	85.7%
Uppercase Letter	1000000	14.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
i	1000000	16.7%
e	1000000	16.7%
d	999398	16.7%
r	749697	12.5%
o	500065	8.3%
v	250387	4.2%
c	250387	4.2%
n	250280	4.2%
g	250280	4.2%
l	250280	4.2%
Other values (2)	499333	8.3%

Uppercase Letter

Value	Count	Frequency (%)
D	250387	25.0%
S	250280	25.0%
W	249678	25.0%
M	249655	25.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	7000107	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
i	1000000	14.3%
e	1000000	14.3%
d	999398	14.3%
r	749697	10.7%
o	500065	7.1%
D	250387	3.6%
v	250387	3.6%
c	250387	3.6%
S	250280	3.6%
n	250280	3.6%
Other values (6)	1499226	21.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	7000107	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
i	1000000	14.3%
e	1000000	14.3%
d	999398	14.3%
r	749697	10.7%
o	500065	7.1%
D	250387	3.6%
v	250387	3.6%
c	250387	3.6%
S	250280	3.6%
n	250280	3.6%
Other values (6)	1499226	21.4%

Education_Level
Categorical

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	7.6 MiB

PhD	250678
High School	250441
Bachelor	249763
Master	249118

Length

Max length	11
Median length	8
Mean length	6.999697
Min length	3

Characters and Unicode

Total characters	6999697
Distinct characters	18
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	High School
2nd row	PhD
3rd row	Master
4th row	Bachelor
5th row	Bachelor

Common Values

Value	Count	Frequency (%)
PhD	250678	25.1%
High School	250441	25.0%
Bachelor	249763	25.0%
Master	249118	24.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
phd	250678	20.0%
high	250441	20.0%
school	250441	20.0%
bachelor	249763	20.0%
master	249118	19.9%

Most occurring characters

Value	Count	Frequency (%)
h	1001323	14.3%
o	750645	10.7%
c	500204	7.1%
l	500204	7.1%
r	498881	7.1%
e	498881	7.1%
a	498881	7.1%
P	250678	3.6%
D	250678	3.6%
S	250441	3.6%
Other values (8)	1998881	28.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	5248137	75.0%
Uppercase Letter	1501119	21.4%
Space Separator	250441	3.6%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
h	1001323	19.1%
o	750645	14.3%
c	500204	9.5%
l	500204	9.5%
r	498881	9.5%
e	498881	9.5%
a	498881	9.5%
g	250441	4.8%
i	250441	4.8%
s	249118	4.7%

Uppercase Letter

Value	Count	Frequency (%)
P	250678	16.7%
D	250678	16.7%
S	250441	16.7%
H	250441	16.7%
B	249763	16.6%
M	249118	16.6%

Space Separator

Value	Count	Frequency (%)
	250441	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	6749256	96.4%
Common	250441	3.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
h	1001323	14.8%
o	750645	11.1%
c	500204	7.4%
l	500204	7.4%
r	498881	7.4%
e	498881	7.4%
a	498881	7.4%
P	250678	3.7%
D	250678	3.7%
S	250441	3.7%
Other values (7)	1748440	25.9%

Common

Value	Count	Frequency (%)
	250441	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	6999697	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
h	1001323	14.3%
o	750645	10.7%
c	500204	7.1%
l	500204	7.1%
r	498881	7.1%
e	498881	7.1%
a	498881	7.1%
P	250678	3.6%
D	250678	3.6%
S	250441	3.6%
Other values (8)	1998881	28.6%

Auto

Heatmap
Table

	Admission_Date	Claim_Amount	Coverage_Amount	Discharge_Date	Education_Level	Fraud_Label	Investigation_Details	Marital_Status	Nationality	Occupation	Paid_Amount	Patient_Age	Patient_Gender	Payment_Type	Policy_Type	Provider_ID	Provider_Specialty	State	Total_Charges
Admission_Date	1.000	0.001	-0.001	0.000	0.000	0.000	0.000	0.002	0.000	0.000	-0.001	0.000	0.000	0.000	0.000	0.000	0.001	0.000	-0.001
Claim_Amount	0.001	1.000	0.001	0.000	0.001	0.001	0.000	0.003	0.000	0.000	-0.001	0.000	0.000	0.002	0.000	0.000	0.000	0.000	-0.000
Coverage_Amount	-0.001	0.001	1.000	0.002	0.000	0.000	0.002	0.001	0.001	0.000	0.001	0.000	0.000	0.000	0.000	0.000	0.000	0.002	0.000
Discharge_Date	0.000	0.000	0.002	1.000	0.000	0.000	0.000	0.000	0.000	0.000	0.001	0.001	0.002	0.001	0.003	0.000	0.000	0.000	0.001
Education_Level	0.000	0.001	0.000	0.000	1.000	0.001	0.002	0.002	0.000	0.002	-0.001	0.000	0.000	0.002	0.000	0.000	0.000	0.000	-0.001
Fraud_Label	0.000	0.001	0.000	0.000	0.001	1.000	0.001	0.000	0.001	0.000	0.000	0.001	0.000	0.000	0.003	0.000	0.001	0.000	0.001
Investigation_Details	0.000	0.000	0.002	0.000	0.002	0.001	1.000	0.000	0.000	0.000	-0.000	0.000	0.000	0.000	0.002	0.001	0.000	0.001	-0.002
Marital_Status	0.002	0.003	0.001	0.000	0.002	0.000	0.000	1.000	0.000	0.000	0.001	0.001	0.000	0.002	0.000	0.000	0.001	0.001	0.000
Nationality	0.000	0.000	0.001	0.000	0.000	0.001	0.000	0.000	1.000	0.000	-0.000	0.002	0.000	0.000	0.000	0.001	0.001	0.000	-0.002
Occupation	0.000	0.000	0.000	0.000	0.002	0.000	0.000	0.000	0.000	1.000	0.001	0.001	0.000	0.000	0.000	0.001	0.000	0.000	0.000
Paid_Amount	-0.001	-0.001	0.001	0.001	-0.001	0.000	-0.000	0.001	-0.000	0.001	1.000	0.000	0.000	0.004	0.000	0.000	0.002	0.001	-0.000
Patient_Age	0.000	0.000	0.000	0.001	0.000	0.001	0.000	0.001	0.002	0.001	0.000	1.000	0.000	0.002	0.001	0.001	0.002	0.001	-0.000
Patient_Gender	0.000	0.000	0.000	0.002	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.001	0.000	0.003	0.000	0.001	-0.000
Payment_Type	0.000	0.002	0.000	0.001	0.002	0.000	0.000	0.002	0.000	0.000	0.004	0.002	0.001	1.000	0.000	0.000	0.001	0.000	-0.001
Policy_Type	0.000	0.000	0.000	0.003	0.000	0.003	0.002	0.000	0.000	0.000	0.000	0.001	0.000	0.000	1.000	0.001	0.000	0.000	0.001
Provider_ID	0.000	0.000	0.000	0.000	0.000	0.000	0.001	0.000	0.001	0.001	0.000	0.001	0.003	0.000	0.001	1.000	0.000	0.001	0.002
Provider_Specialty	0.001	0.000	0.000	0.000	0.000	0.001	0.000	0.001	0.001	0.000	0.002	0.002	0.000	0.001	0.000	0.000	1.000	0.001	-0.001
State	0.000	0.000	0.002	0.000	0.000	0.000	0.001	0.001	0.000	0.000	0.001	0.001	0.001	0.000	0.000	0.001	0.001	1.000	0.001
Total_Charges	-0.001	-0.000	0.000	0.001	-0.001	0.001	-0.002	0.000	-0.002	0.000	-0.000	-0.000	-0.000	-0.001	0.001	0.002	-0.001	0.001	1.000

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows
Last rows

	Provider_ID	Claim_ID	Patient_ID	Diagnosis_Code	Procedure_Code	Claim_Date	Admission_Date	Discharge_Date	Claim_Amount	Paid_Amount	Provider_Specialty	Patient_Age	Patient_Gender	Fraud_Label	Investigation_Details	Policy_Type	Coverage_Amount	Total_Charges	Payment_Type	State	Email	Phone_Number	Address	Nationality	Passport_Number	Employer	Occupation	Marital_Status	Education_Level
0	Asian Medical Center	CLAIM_1	Darrell Blair	DX_714	PROC_2648	2024-04-24	2024-03-26	2024-05-08	1077.86	4362.78	Orthopedics	76	Female	1	Cleared	HMO	3880.49	9913.47	Credit Card	Bangkok	charlenekoch@example.org	737.572.4230	9475 Christine Fort, Riveraview, TX 28683	Korean	317-45-4815	Mitchell-Mcintosh	Teacher	Divorced	High School
1	Sky Hospital	CLAIM_2	William Young	DX_885	PROC_9084	2024-04-24	2024-04-07	2024-05-03	4998.88	5867.30	Cardiology	73	Female	1	Under investigation	PPO	1541.03	7723.89	Credit Card	Mumbai	ayersmelanie@example.org	001-284-213-6827x6429	012 Martinez Bridge, Popeview, OK 75771	Korean	255-16-5382	Galloway, Castillo and Smith	Businessman	Married	PhD
2	Moon Healthcare	CLAIM_3	Keith Reynolds	DX_988	PROC_9747	2024-04-24	2024-04-01	2024-05-24	7058.21	8526.15	Orthopedics	34	Male	0	Cleared	HMO	2047.66	9671.58	Credit Card	Seoul	madison17@example.com	(320)856-6983	8544 Roberts Estate Apt. 392, Port Mistyshire, WY 86425	Indian	255-07-5680	Phillips, Bryant and Murphy	Teacher	Divorced	Master
3	Sky Hospital	CLAIM_4	Andre Kelly	DX_779	PROC_4334	2024-04-24	2024-03-31	2024-04-27	1628.67	8317.18	Cardiology	58	Male	0	Suspicious	PPO	3198.92	7887.55	Check	Tokyo	brittany18@example.org	860-217-1502	52151 Antonio Hill Suite 655, Lake Christian, NH 49512	Thai	210-10-2570	Lee, Jackson and Hoffman	Doctor	Divorced	Bachelor
4	Sun Clinic	CLAIM_5	Terry Gonzales	DX_644	PROC_8408	2024-04-24	2024-03-27	2024-05-12	1480.43	4136.33	Orthopedics	90	Female	0	Under investigation	PPO	2935.93	332.80	Electronic Funds Transfer	Mumbai	nharris@example.net	658.620.1024	7112 Christopher Village Suite 120, North Emily, NJ 46503	Thai	044-28-8553	Peterson, Lopez and Blake	Engineer	Divorced	Bachelor
5	Moon Healthcare	CLAIM_6	Tony Gordon	DX_892	PROC_2335	2024-04-24	2024-04-01	2024-05-19	3870.00	7623.96	Orthopedics	37	Female	0	Suspicious	PPO	3371.45	2564.29	Electronic Funds Transfer	Tokyo	johnallen@example.org	001-658-466-2696	249 Robert Shoals Apt. 813, East Emily, NJ 06925	Indian	335-64-4833	Odonnell LLC	Engineer	Widowed	PhD
6	Moon Healthcare	CLAIM_7	Ross Atkinson	DX_534	PROC_7298	2024-04-24	2024-04-06	2024-05-22	4343.76	7886.82	General Medicine	44	Male	0	Under investigation	HMO	4608.70	4185.24	Electronic Funds Transfer	Tokyo	dylanhamilton@example.com	001-729-848-5510x689	26394 Ashley Estates Suite 630, North Steven, PA 62365	Indian	289-19-4177	Howard-Ford	Engineer	Married	High School
7	Asian Medical Center	CLAIM_8	Meghan Bryant	DX_235	PROC_8273	2024-04-24	2024-04-02	2024-05-12	1477.68	6933.63	General Medicine	53	Male	0	Under investigation	PPO	4629.35	2340.75	Check	Beijing	hayescatherine@example.org	(712)653-1749x486	818 Michael Canyon Apt. 314, Paulland, MH 23442	Japanese	535-78-2674	Clark, Oneill and Anderson	Teacher	Widowed	Bachelor
8	Asian Medical Center	CLAIM_9	Melissa Petersen	DX_850	PROC_5437	2024-04-24	2024-04-20	2024-05-09	1405.24	4547.49	Cardiology	59	Male	1	Suspicious	HMO	1267.65	9384.24	Credit Card	Beijing	darrell46@example.net	(730)907-6852x84174	59062 Diana Harbor Apt. 850, West Emilymouth, VT 34613	Korean	366-96-8210	Thompson-Hart	Engineer	Divorced	Master
9	Asian Medical Center	CLAIM_10	Diana Schmidt	DX_931	PROC_1064	2024-04-24	2024-04-23	2024-05-18	9063.09	916.38	Orthopedics	50	Female	1	Cleared	HMO	2532.27	8775.42	Credit Card	Mumbai	parkerfrank@example.com	+1-330-568-1956x9767	661 Emily Gateway, Bergland, GU 41122	Thai	088-60-4249	Johnston, Mclaughlin and Williamson	Doctor	Married	Bachelor

	Provider_ID	Claim_ID	Patient_ID	Diagnosis_Code	Procedure_Code	Claim_Date	Admission_Date	Discharge_Date	Claim_Amount	Paid_Amount	Provider_Specialty	Patient_Age	Patient_Gender	Fraud_Label	Investigation_Details	Policy_Type	Coverage_Amount	Total_Charges	Payment_Type	State	Email	Phone_Number	Address	Nationality	Passport_Number	Employer	Occupation	Marital_Status	Education_Level
999990	Eastern Hospital	CLAIM_999991	Lisa Parker	DX_178	PROC_7308	2024-04-24	2024-04-12	2024-05-05	7971.30	919.30	Orthopedics	48	Female	0	Under investigation	HMO	2103.45	7022.81	Electronic Funds Transfer	Tokyo	mooresteven@example.org	698-699-8032x3134	4895 Kelly Mission, New Andrea, PA 65056	Japanese	316-10-2860	Cardenas LLC	Doctor	Married	PhD
999991	Sky Hospital	CLAIM_999992	Elizabeth Richards	DX_362	PROC_1005	2024-04-24	2024-03-30	2024-05-23	9088.26	5037.26	Cardiology	69	Male	0	Cleared	PPO	3592.40	9290.50	Credit Card	Bangkok	hillapril@example.org	+1-345-313-3925x738	9273 Victoria Greens Suite 025, Port Jamesside, ID 86274	Chinese	630-53-3415	Marquez-Holmes	Engineer	Married	High School
999992	Sky Hospital	CLAIM_999993	Margaret Carlson	DX_625	PROC_8512	2024-04-24	2024-04-21	2024-05-09	5412.93	5131.20	Orthopedics	25	Female	1	Cleared	PPO	2414.18	5344.02	Credit Card	Beijing	hrobbins@example.net	847.549.0627	119 Prince Valley, Lake Carlosbury, WI 26754	Chinese	694-61-0166	Higgins Ltd	Teacher	Divorced	Bachelor
999993	Eastern Hospital	CLAIM_999994	Alexandra Smith	DX_526	PROC_1144	2024-04-24	2024-03-25	2024-05-04	1273.09	3300.31	General Medicine	47	Female	0	Cleared	HMO	4431.86	319.08	Check	Bangkok	lopezronald@example.com	957-801-6698	731 Berg Unions Suite 451, Rossside, ME 80067	Thai	815-39-6192	Murillo-Moore	Doctor	Widowed	High School
999994	Eastern Hospital	CLAIM_999995	Ms. Mariah Brown	DX_776	PROC_6643	2024-04-24	2024-04-03	2024-05-06	997.52	76.86	General Medicine	69	Female	1	Cleared	HMO	2896.36	949.42	Electronic Funds Transfer	Bangkok	qshea@example.com	(562)500-8789x067	2604 Wyatt Junction Suite 541, Patrickville, MI 69528	Thai	640-71-5243	Harper, Wagner and Sampson	Businessman	Married	High School
999995	Asian Medical Center	CLAIM_999996	Evelyn Rivers	DX_590	PROC_1543	2024-04-24	2024-03-25	2024-05-12	9576.71	3128.20	Orthopedics	85	Male	0	Cleared	HMO	1505.56	9891.99	Check	Seoul	khughes@example.org	405.871.5546	129 Kelly Forges, Longland, AZ 46430	Thai	840-84-6763	Ross-Melendez	Engineer	Widowed	Bachelor
999996	Moon Healthcare	CLAIM_999997	Robert Woods	DX_954	PROC_6870	2024-04-24	2024-03-26	2024-05-09	4600.56	9604.02	Orthopedics	61	Male	1	Cleared	PPO	4175.44	3968.83	Check	Tokyo	froberts@example.net	569-771-5484x20259	281 Judy Crescent Suite 322, North Edwin, DC 52257	Japanese	318-96-8498	Hansen Group	Engineer	Divorced	High School
999997	Sun Clinic	CLAIM_999998	David Thomas	DX_302	PROC_9405	2024-04-24	2024-03-25	2024-05-20	7103.05	2955.37	General Medicine	41	Male	0	Suspicious	PPO	1329.91	8615.29	Electronic Funds Transfer	Bangkok	jameswilliams@example.org	(962)996-9863x7621	216 Michaela Rapid Suite 198, Williamsmouth, MO 10043	Chinese	174-92-1906	Miller PLC	Teacher	Married	Bachelor
999998	Asian Medical Center	CLAIM_999999	Samantha Hubbard	DX_517	PROC_4916	2024-04-24	2024-04-05	2024-05-21	313.71	8483.86	Cardiology	50	Female	0	Cleared	HMO	3388.07	2163.77	Electronic Funds Transfer	Beijing	tsmith@example.org	423-752-9324	26176 Joshua Skyway Apt. 043, Riceton, GA 23354	Thai	203-65-1589	Day, Stewart and Frost	Teacher	Single	Master
999999	Sun Clinic	CLAIM_1000000	Amy Edwards	DX_699	PROC_7914	2024-04-24	2024-03-29	2024-05-08	1540.96	4121.44	Orthopedics	51	Male	1	Cleared	HMO	2752.81	3194.72	Check	Mumbai	barbara46@example.net	313-781-4871x6894	92795 Williams Mills, East Keith, MO 60890	Indian	562-34-1333	Webb-Rogers	Doctor	Divorced	PhD

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Uppercase Letter

Connector Punctuation

Most occurring scripts

Most frequent character per script

Common

Latin

Most occurring blocks

Most frequent character per block

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Other Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Uppercase Letter

Connector Punctuation

Most occurring scripts

Most frequent character per script

Common

Latin

Most occurring blocks

Most frequent character per block

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Uppercase Letter

Connector Punctuation

Most occurring scripts

Most frequent character per script

Common

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Dash Punctuation

Most occurring scripts